How do i load part of the data set

Beginners
4

You can load a subset of your dataset in Hugging Face using the load_dataset() function with filtering options. Here are a few ways to do it:

1. Using .select() to Load a Specific Number of Rows

If your dataset is already loaded, you can select 200,000 rows like this:

from datasets import load_dataset

dataset = load_dataset("your_dataset_name")
subset = dataset["train"].select(range(200000))  # Select first 200k rows

2. Using Streaming to Avoid Full Download

If your dataset is too large to fit in memory, use streaming mode:

dataset = load_dataset("your_dataset_name", split="train", streaming=True)
subset = dataset.take(200000)  # Load only 200k rows

This prevents downloading the entire dataset at once.

3. Using data_files to Load a Specific File

If your dataset consists of multiple files, you can load only a specific portion:

dataset = load_dataset("your_dataset_name", data_files={"train": "train_part1.csv"})

For more details, check out the Hugging Face documentation or community discussions. Let me know if you need help with a specific dataset! :rocket:

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